Modeling of Intraluminal Surfaces of Thoracic Aortas
Licentiate thesis, 2020
To accurately describe the complex mechanical conditions of the intraluminal surfaces of diseased blood vessels inside the body, this thesis presented a segmentation and quantification methodology for a natural and intuitive vessel surface description. The thesis also included some important clinical applications, all based on non-invasive temporal imaging. The results emphasized the need for explicit surface curvature quantification, as compared to relying solely on centerline curvature and estimation methods. Methods for preoperative prediction of endograft malapposition severity based on geometric analysis of thoracic aortic surfaces were introduced. Finally, a multiaxial dynamic analysis of cardiac induced thoracic aortic surface deformation showed how a thoracic endovascular aortic repair is a↵ecting the deformations of the thoracic aorta.
Thus, the work presented in this thesis contributes by giving surgeons a tool to use in their treatment planning to minimize complications. Moreover, this method provides more nuanced boundary conditions so that endograft manufacturers can improve their designs to improve the quality of life for the treated patients.
Chalmers, Mechanics and Maritime Sciences, Dynamics
Thoracic aortic geometry correlates with endograft bird-beaking severity
Journal of Vascular Surgery,; Vol. 72(2020)p. 1196-1205
Automated Quantification of Diseased Thoracic Aortic Longitudinal Centerline and Surface Curvatures
Journal of Biomechanical Engineering,; Vol. 142(2020)
Suh G-Y, Bondesson J, Kim John, Zhu YD., Lee JT., Dake MD, Cheng CP. Biomechanical Effects of TEVAR on Multiaxial Pulsatility and Surface Curvature Deformation of the Thoracic Aorta
Biomedical Laboratory Science/Technology
Medical Image Processing
Chalmers University of Technology
Opponent: Christian T. Gasser, Royal Institute of Technology, Stockholm